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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and
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. Charlotte Fløe Kristjansen Start date is (expected to be) 1 January 2026 or as soon as possible thereafter. The project The theme of the PhD project would be exact methods in holography and their application
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in the teaching and research activities of the Department. The successful applicant is obliged to participate in the assistant professor program at CBS on teaching principles and methods in order to
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the faculty here . About the research project The position entails research in biostatistics and clinical epidemiology, with a particular focus on causal inference and methods in pharmacoepidemiology
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demonstrator in providing faster and more precise kinesthetic teaching. This can be done by using Bayesian AI methods that incorporate prior knowledge of likely intentions estimated from a combination of visual
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science (PDS) within the area of pharmacoepidemiology and pharmacovigilance. It will be the responsibility of the candidate to establish a portfolio of research within AI methods in observational drug
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methods selection, research design, assessment of new experimental approaches, instrument maintenance, development of protocols and new methods in the enzyme biotechnology pipeline. Participation in ongoing
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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
tools and our teaching methods. We expect you to bring in to use your existing tools and methods where this benefits the program and we expect you to adopt the corner stones of our needs-driven innovation
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pharmaceutical data science (PDS) within the area of pharmacoepidemiology and pharmacovigilance. It will be the responsibility of the candidate to establish a portfolio of research within AI methods in
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and